"""simple docstring"""



from math import factorial, pi



def 	_lowerCamelCase(	a   ,    a = 3_0				):



       if not isinstance(__lowerCAmelCase   ,    (int, float)				):
              raise ValueError("maclaurin_sin() requires either an int or float for theta"				)

       if not isinstance(__lowerCAmelCase   ,    __lowerCAmelCase				) or accuracy <= 0:
              raise ValueError("maclaurin_sin() requires a positive int for accuracy"				)

       __a       =    float(__lowerCAmelCase				)
       __a       =    theta // (2 * pi)
       theta -= 2 * div * pi
       return sum(
           (-1) ** r * theta ** (2 * r + 1) / factorial(2 * r + 1				) for r in range(__lowerCAmelCase				)				)



def 	_lowerCamelCase(	a   ,    a = 3_0				):



       if not isinstance(__lowerCAmelCase   ,    (int, float)				):
              raise ValueError("maclaurin_cos() requires either an int or float for theta"				)

       if not isinstance(__lowerCAmelCase   ,    __lowerCAmelCase				) or accuracy <= 0:
              raise ValueError("maclaurin_cos() requires a positive int for accuracy"				)

       __a       =    float(__lowerCAmelCase				)
       __a       =    theta // (2 * pi)
       theta -= 2 * div * pi
       return sum((-1) ** r * theta ** (2 * r) / factorial(2 * r				) for r in range(__lowerCAmelCase				)				)


if __name__ == "__main__":
   import doctest

   doctest.testmod()

   print(maclaurin_sin(10))
   print(maclaurin_sin(-10))
   print(maclaurin_sin(10, 15))
   print(maclaurin_sin(-10, 15))

   print(maclaurin_cos(5))
   print(maclaurin_cos(-5))
   print(maclaurin_cos(10, 15))
   print(maclaurin_cos(-10, 15))

"""simple docstring"""


import fire

from transformers import AutoConfig, AutoModelForSeqaSeqLM, AutoTokenizer





def      lowerCamelCase_					(   __lowerCAmelCase  ,       __lowerCAmelCase  ,       **__lowerCAmelCase							)				->   List[str]:




						'''simple docstring'''



						lowerCamelCase__   =AutoConfig.from_pretrained(__lowerCAmelCase  ,       **__lowerCAmelCase							)
						lowerCamelCase__   =AutoModelForSeqaSeqLM.from_config(__lowerCAmelCase							)
						model.save_pretrained(__lowerCAmelCase							)
						AutoTokenizer.from_pretrained(__lowerCAmelCase							).save_pretrained(__lowerCAmelCase							)
						return model


if __name__ == "__main__":
	fire.Fire(save_randomly_initialized_version)


